• Journal of Korea Game Society
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• v.19 no.4
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• pp.27-36
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• 2019

Approaches to find hidden values using various and enormous amount of data are on the rise. As big data processing becomes easier, companies directly collects data generated from users and analyzes as necessary to produce insights. User-based data are utilized to predict patterns of gameplay, in-game symptom, eventually enhancing gaming. Accordingly, in this study, we tried to analyze the gaming strategy and user activity patterns utilizing Battlegrounds in-game data to detect the in-game hack.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.81-89
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• 2018

The purpose of this study is to classify the types of internet personal game broadcasting in China and to examine viewers' preferences type of it. By targeting top 100 creators of Player-Unknown's Battleground streaming as a personal game broadcaster with over 100,000 followers, the game types were classified based on the purpose and characteristic of game broadcasting such as game play, entertainment, and audience participation. As a result, the type of internet personal game broadcasting in China was classified into progamer type, cooperative playing type, storytelling type, and reciprocal entertainment type. The progamer type was 38% and it was the highest proportion of Player-Unknown's Battlegrounds streaming. Next came storytelling type, cooperative playing type and reciprocal entertainment type with 25%, 19% and 18% respectively. In sum, progamer type and storytelling type which shows relatively low real - time communication with audiences accounted for a high percentage of 63%. This implies that the characteristics of the broadcast media focused on 'showing' have influenced the production and planning of personal game broad casting. The interactive characteristics of the platform of personal game broad casting can be expected to gradually change the conventional customs of broadcasting media.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.29-30
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• 2024

본 논문은 Krafton의 PUBG: BATTLEGROUNDS 게임에서 플레이어 분류를 목표로 하며, 포즈 추정기술을 사용하여 일반 플레이어와 봇을 구분한다. 이는 게임에서 직접 수집한 비디오 데이터를 기반으로 하며, 다음과 같은 두 가지 접근 방식을 제안한다. 첫 번째 방법은 동작 시퀀스 분석을 통해, 사용자의 특정동작 패턴을 식별하고 로지스틱 회귀 모델을 활용해 사용자 유형을 분류한다. 두 번째 방법은 YOLO-pose 모델을 사용하여 비디오 데이터에서 키포인트를 추출하고, 이를 LSTM 모델에 적용하여 프레임별로 사용자의 유형을 분류한다. 이러한 이중 접근 방식은 게임의 공정성과 사용자 경험을 향상시키는 새로운 도구를 제공하며, 보다 안전한 게임 환경에 기여할 수 있다. 이 연구는 게임 산업뿐만 아니라 보안 및 모니터링 분야에서도 동작 분석에 대한 혁신적인 접근 방식으로 활용될 잠재력을 가지고 있다.

• Journal of Korea Game Society
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• v.17 no.5
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• pp.27-38
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• 2017

The purpose of this study is to analyze the game dynamics of 'Battle Royale' genre and how these dynamics create dramatic tension, focused on . Battle Royale games maintain the dramatic tension through the intersection of uncertainty and inevitability. Uncertainty is reinforced by randomness of the game world and hidden information of player statement. Inevitability is emerged from the level design with choke point, and restriction of playable field over time. From this mechanism, Battle Royale genre establishes the gameness which derives player's meaningful choice and maintains player's tension until the end of the game.

• Journal of Korea Game Society
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• v.20 no.4
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• pp.89-100
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• 2020

The purpose of this study is to identify online-game players' desire in cheating programs through Rene Girard's theory of mimetic desire. Cheating programs disrupts the magic circle of the game with denying the lusory attitude that players should have. The cheating players' desires do not go directly to victory, but are mediated by a virtual 'model player' which the rules of the game imply. They are internally mediated, so there is constant conflict in the play. Cheating players' desire to enhance skills by technology is defined as a false desire for transhuman.